A Nobel Approach for Entropy Reduction of Wireless Sensor Networks (WSN)

Abstract

In contrast to RF, optical devices are smaller and consume less power; reflection, diffraction, and scattering from aerosols help distribute signal over large areas; and optical wireless provides freedom from interference and eavesdropping within an opaque enclosure. For a densely deployed Wireless Multimedia Sensor Network (WMSN), an entropy-based analytical framework is developed to measure the amount of visual information provided by multiple cameras in the network. The limitations of limited energy, processing power and bandwidth capabilities of sensors networks become critical in the case of event-based sensor networks where multiple collocated nodes are likely to notify the sink about the same event, at almost the same time. Data aggregation is considered to be an effective technique. Selective use of informative sensors reduces the number of sensors needed to obtain information about the target state and therefore prolongs the system lifetime. In this paper the use of entropy in spectrum sensing is also described. This sensing gives knowledge about the usage of spectrum by primary user and based on that a secondary user can utilize the unused spectrum without interfere the primary user.